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  • 标题:Nonparametric testing of distributions—the Epps–Singleton two-sample test using the empirical characteristic function
  • 本地全文:下载
  • 作者:Goerg, Sebastian J. ; Kaiser, Johannes
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:2009
  • 卷号:40
  • 期号:SUPPL
  • 页码:454-465
  • 出版社:Food Distribution Research Society
  • 摘要:In statistics, two-sample tests are used to determine whether two samples have been drawn from the same population. An example of such a test is the widely used Kolmogorov–Smirnov two-sample test. There are other distributionfree tests that might be applied in similar occasions. In this article, we describe a two-sample omnibus test introduced by Epps and Singleton, which usually has a greater power than the Kolmogorov–Smirnov test although it is distribution free. The superiority of the Epps–Singleton characteristic function test is illustrated in two examples. We compare the two tests and supplement this contribution with a Stata implementation of the omnibus test.
  • 关键词:escftest;nonparametric tests;Kolomogorov–Smirnov;Epps–Singleton;two-sample case
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